Location: Onsite in SF/NY Hubs

Type: Full-time

Your Role

We are seeking a Backend Engineer to lead the development of our infrastructure and data pipelines that power personalized AI-driven care protocols. You’ll work closely with our team of clinicians, and cross functional departments to build scalable systems that enable precision recommendations for women navigating midlife health challenges.

Responsibilities

• Architect and maintain backend systems that process and store health, symptom, and wearable data.
• Design and deploy scalable infrastructure for machine learning models in production.
• Build and manage secure data pipelines for ingesting and analyzing structured and unstructured data.
• Collaborate with cross functional teams to implement APIs and services that power our mobile and web applications.
• Ensure compliance with healthcare data security standards (e.g., HIPAA).

What You Bring

• 7+ years of experience in backend engineering with expertise in Java, Python, Go, or similar languages.
• Hands-on experience deploying machine learning models in production (e.g., TensorFlow, PyTorch).
• Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Experience in database design (SQL, NoSQL) and ETL pipelines.
• Familiarity with healthcare data formats and standards (e.g., HIPAA, FHIR, HL7) is a plus.
• We’re looking for individuals with a startup mindset—comfortable wearing multiple hats, thriving in ambiguity, and driven to take ownership in a fast-paced, evolving environment.
• A passion for mission-driven work and making a meaningful impact in women's health.